Cloud Seer: capturing, connecting, and enriching data.

Cloud Seer integrates anything, anywhere, on-demand and as-is. It’s an intelligent data pipeline engine that allows data to be transformed and integrated for consumption by business end users with little or no training.

Cloud Seer extracts intrinsic properties of data and creates a detailed view of each data object as a Managed Semantic Object (MSO). When an MSO has a relation to another MSO, we identify this relationship and store that too.

We also have a library of pre-built MSOs where we have described more details on what the field is and how we can get additional information. We compare the data signature of the newly discovered MSO with that of the data signature of an MSO in the library to automatically calculate additional information. For example, if we find a “date of birth” field, we can look up a similar field “DOB” in our MSO and automatically know that we can calculate additional information called “age”.

Using techniques like this, Cloud Seer identifies and enriches any data source in minutes and makes these details available for use by the other products in the App Orchid platform.

Bringing immediate value to leaders and teams, platform functions build an intelligent system that acquires, captures, and stores organization knowledge.
Unique to App Orchid, these functions use the Foundational Services (see below chart) to provide real-time insight to business owners.

Core Services use Artificial Intelligence and National Language Processing to do the heavy lifting across the platform. These services parse and filter through the data, identifying patterns and trends that inform the answers that address enterprise challenges.

At the root of the platform lies the Foundational Services. These are the technical components that support configurations and programming and create the underlying framework of the App Orchid platform

Platform FunctionsTHE STRATEGISTS

Core ServicesTHE THINKERS

Foundational ServicesTHE WORKERS

How Cloud Seer connects

Data source

Sources data from structured data sources such as database, CSV, Excel, and unstructured data sources such as PDF, video feeds, PowerPoint, Word, Email and text fields are broken down into a proper format that can be stored, managed and processed. Cloud Seer has built-in connectors to connect to most commonly-used databases and file formats.

Search

Stores all searchable data in a highly indexed, clustered format that can search and return large search results within milliseconds with the additional capability to account for words with similar meaning, phonetics and spelling mistakes.

Managed Semantic Object (MSO)

Managed Semantic Object helps in storing, processing and using data intelligently by adding built-in capabilities to understand all characteristic of the data like the datatype of the field, the structure of the record, the statistical attributes of the value, linguistic attributes of the field, the source & timestamp of data and the confidence score of the data. All ML, NLP, AI and other components of App Orchid platform depends on MSO for processing the data as it contains all the necessary meta-data pertaining to a data element.

Multi-Tenancy

A single Cloud Seer server can partition and serve multiple organizations using the multi-tenant architecture. This helps in leveraging the existing infrastructure for multiple purposes within a single enterprise. The system is secured to not allow any kind of cross-app access unless configured to be allowed.

Tiered Data Storage

All data is not accessed the same way which means it doesn’t have to be stored and processed the same way. Cloud Seer has the capability to store data that is:

accessed frequently in a hot storage backed by high speed in-memory infrastructure

accessed less frequently in a warm storage backed by a fast disk-based data source

very rarely used in a cold storage backed by a file based Big Data system.

Pipelines

Data is never in the format we need or has every information we need. Cloud Seer provides an effortless way to source the data and processes it by using a tool called the Pipeline that has pre-built components for most data processing requirements and many advanced ML, AI and NLP algorithms. Without having to worry about underlying complexity or infrastructure, Cloud Seer automatically recruits multiple systems to process in parallel thereby completing the activity much faster.

Big Data

Built-in infrastructure to connect and process data from Big Data systems like Hadoop and Hive. Most enterprises have accumulated volumes of data that cannot be handled by a traditional database. Usually the data is stored in a big data system which is great for storage, not processing and analyzing.

Scalable processing

Cloud Seer can easily scale to process large volumes of data as needed by taking the help of multiple nodes and running the processes in parallel. It achieves this using the integration with the Spark platform. This helps in using commodity hardware to run complex data processing at big data scale very easily.

We believe that employee knowledge and hidden data across your enterprise hold the keys to unlocking the future success of your organization. We create easy-to-use, dynamic apps that harness the power of Artificial Intelligence and the Internet of Things to help companies operate smarter and faster.